Customer feedback aggregation
The practice of pulling customer input from every channel — support, sales, surveys, calls, in-app — into one synthesizable store, as the precursor to theme analysis.
Customer feedback aggregation is the upstream half of product intelligence: getting every piece of customer input into one place so it can actually be reasoned about. The downstream half — synthesis into themes — depends entirely on this step being done well.
Most B2B companies have the same problem at the start. Support feedback lives in Zendesk or Intercom. Sales objections live in Gong, in Salesforce notes, and in salespeople's heads. Churn reasons live in a survey tool. NPS verbatims live in a third dashboard. Each channel is read by a different team, and no one has the full picture — which means the same customer pain shows up as three small complaints in three places when it should be one obvious priority.
Aggregation is more than ingestion. The signals from each channel arrive in different formats — full transcripts, short tickets, Salesforce free-text fields, structured survey responses — and they need to be normalized into comparable units before they can be clustered. A tool that ingests channels but doesn't reshape them produces a unified inbox you still can't read. The aggregation step is finished when every signal, regardless of origin, is in the same shape: short, attributed, dated, and ready to be themed.
Related terms
Turning customer feedback aggregation into a roadmap is the hard part.
Kiln aggregates customer signal across every source, clusters it into themes, and surfaces what to build next.
Try Kiln freearrow_forward